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06/21/2022
Personalized Subgraph Federated Learning
In real-world scenarios, subgraphs of a larger global graph may be distr...
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02/23/2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
In practical federated learning scenarios, the participating devices may...
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02/01/2022
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization Similarity Matching
In real-world federated learning scenarios, participants could have thei...
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03/02/2021
Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning
Most conventional Neural Architecture Search (NAS) approaches are limite...
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08/31/2020
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool
Because of the limits input/output systems currently impose on high-perf...
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06/22/2020
Federated Semi-Supervised Learning with Inter-Client Consistency
While existing federated learning approaches mostly require that clients...
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03/06/2020
